Evidence map›Paper›PMID 35201429›Full record

ArticleEnvironmental monitoring and assessment2022

Ecological assessment of Black Fly (Simuliumdamnosum, Sensulato) breeding sites in two tributaries of Ogun river, Ogun state, Nigeria.

Olusheyi Zaccheaus Ojekunle, Rotimi Olabode Esan, Mujeeb Adeyemi Balogun, Kehinde O Ademolu, Kayode Adesina Adegoke, Adewale Matthew Taiwo

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Olusheyi Zaccheaus OjekunleDepartment of Environmental Management and Toxicology, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria.
Rotimi Olabode EsanDepartment of Environmental Management and Toxicology, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria.
Mujeeb Adeyemi BalogunDepartment of Environmental Management and Toxicology, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria.ORCID http://orcid.org/0000-0002-7073-2253
Kehinde O AdemoluDepartment of Environmental Management and Toxicology, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria.
Kayode Adesina AdegokeDepartment of Chemical Sciences, University of Johannesburg, Johannesburg, South Africa. kwharyourday@gmail.com.ORCID http://orcid.org/0000-0002-7502-0132
Adewale Matthew TaiwoDepartment of Environmental Management and Toxicology, Federal University of Agriculture, Abeokuta, Ogun State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Onchocerciasis is a disease transmitted by blackfly vector of the genus Simuliumdamnosum complex having public and socio-economic consequences. The abundance of blackfly is directly linked to fluvial ecosystems in both tropical and non-tropical countries of the world. This study assessed the ecology of blackfly breeding sites in two tributaries of River Ogun located in Olokemeji and Lisa villages, Ogun State. A total of eighteen water samples were collected for physicochemical analysis during high rainfall (May, June and July), low rainfall (August, September and October) and dry season (November and December) with mean rainfall values of 163.17, 88.03 and 8.95 mm, respectively, in both tributaries. Physicochemical parameters such as temperature (

Indexed as

RiversSimuliidaeAnimalsEcosystemEnvironmental MonitoringNigeriaOnchocerciasisRiver ogunRiver OlokemejiSimuliumdamnosiumSpecies diversityZooplankton and phytoplankton

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.